Improving the performance of tasks offloading for internet of vehicles via deep reinforcement learning methods-Reference-Cited by-同舟云学术

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Improving the performance of tasks offloading for internet of vehicles via deep reinforcement learning methods

Published:2022-01-21 Issue:10 Volume:16 Page:1230-1240
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Wang Ting¹²³,Luo Xiong¹²³^ORCID,Zhao Wenbing⁴

Affiliation:

1. School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China

2. Shunde Graduate School University of Science and Technology Beijing Foshan China

3. Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing China

4. Department of Electrical Engineering and Computer Science Cleveland State University Cleveland Ohio USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12334

Reference36 articles.

1. Collaborative Learning-Based Industrial IoT API Recommendation for Software-Defined Devices: The Implicit Knowledge Discovery Perspective

2. SSUR: An Approach to Optimizing Virtual Machine Allocation Strategy Based on User Requirements for Cloud Data Center

3. A novel human activity recognition scheme for smart health using multilayer extreme learning machine;Chen M.;IEEE IoT J.,2019

4. QoS Prediction for Service Recommendation With Features Learning in Mobile Edge Computing Environment

5. When Deep Reinforcement Learning Meets 5G-Enabled Vehicular Networks: A Distributed Offloading Framework for Traffic Big Data

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1. Natural Language-Based Human–Machine Collaborative Learning Games Algorithm Based on Deep Rein-Forcement Learning;IEEE Access;2024

2. A Deep-Reinforcement-Learning-Based Computation Offloading With Mobile Vehicles in Vehicular Edge Computing;IEEE Internet of Things Journal;2023-09-01

3. Energy allocation and task scheduling in edge devices based on forecast solar energy with meteorological information;Journal of Parallel and Distributed Computing;2023-07

4. Offloading Mechanisms Based on Reinforcement Learning and Deep Learning Algorithms in the Fog Computing Environment;IEEE Access;2023

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